Introducing Streaming Agents on Confluent Cloud

Introduces Streaming Agents on Confluent Cloud, enabling event-driven AI agents natively on Apache Flink. This feature unifies stream processing and AI workflows, allowing agents to monitor and act on real-time business events. Key technical contributions include: event-driven architecture with Flink and Kafka for asynchronous processing and replayability; seamless integration with LLMs, tools, and data systems via Model Context Protocol (MCP) and native connectors; real-time context access for improved decisioning; built-in ML functions for forecasting and anomaly detection; secure and governed event flows with replayability for auditing and debugging; and enhanced external tables and vector search for data enrichment. The post details how Streaming Agents leverage Flink APIs for development and deployment, enabling engineers to build context-aware automation.